new-term-radar
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
翻譯準備中
尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
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一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
Load your ad-level Meta Ads data — upload a CSV export, use the built-in
sample dataset, or connect a read-only Meta account — add a line of
context, and get a one-page decision-first debrief: what worked, what
failed, and what to test next, in two audiences (buyer memo and a visual
client report). Built for media buyers and small agencies who don't have
time to build this analysis by hand every week.檢視完整 README ↗Load your ad-level Meta Ads data — upload a CSV export, use the built-in sample dataset, or connect a read-only Meta account — add a line of context, and get a one-page decision-first debrief: what worked, what failed, and what to test next, in two audiences (buyer memo and a visual client report). Built for media buyers and small agencies who don't have time to build this analysis by hand every week.
This repo pivoted from an earlier Meta Ads reporting/monitoring product (OAuth, a database, scheduled monitoring). All of that was removed, not frozen — see
ARCHITECTURE.mdfor what changed and why.
npm install
npm run dev
Open http://localhost:3000, load your ad-level data (CSV export, sample
dataset, or an optional read-only Meta pull), pick a KPI, add context,
and get your debrief. The CSV-upload flow needs no .env.local, no
signup, no setup; the optional Meta data source needs META_APP_ID and
META_APP_SECRET (see .env.example).
ads_read) from a connected Meta account.There is exactly one path. No login, no dashboard, no history page —
see ARCHITECTURE.md for the scope rules this was built under.
npm run build && npx tsc --noEmit && npx eslint . \
&& npm run test:csv && npm run test:watchlist && npm run test:signals